Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays.

Clara BerlinSonja AdomeitPriyanka GroverMarcel DreischarfHenry HalmOliver DürrPeter Obid

Published in: Global spine journal (2023)

The AI-algorithm shows excellent reliability and agreement with human raters for coronal parameters in preoperative full spine images. The reliability and speed offered by the AI-algorithm could contribute to the efficient analysis of large datasets (eg, registry studies) and measurements in clinical practice.

Keyphrases

deep learning
artificial intelligence
machine learning
clinical practice
end stage renal disease
convolutional neural network
ejection fraction
endothelial cells
patients undergoing
prognostic factors
neural network
rna seq
patient reported outcomes